[Question] CFA in SEM module (lavaan) - Bifactor & 2nd Order model have the same output
Like the title implies - I've tried to conduct the CFA analysis in SEM module according to prof. Pablo Rogers tutorial ((PDF) Best Practices for your Confirmatory Factor Analysis: A JASP and lavaan Tutorial).
While trying to check bifactor and 2nd Order model I've encountered the same-same output, even though R syntax shows, that bifactor model have properly set arguments (orthogonal = TRUE), (dependentCorrelation = FALSE) (and opposite for 2nd Order model).
For both models I've used the same model configuration:
Satisfaction=~ lambda_1_1*SSSCL 01 + lambda_1_2*SSSCL 02 + lambda_1_3*SSSCL 03 + lambda_1_4*SSSCL 04 + lambda_1_5*SSSCL 05 Self_Confidence =~ lambda_2_1*SSSCL 06 + lambda_2_2*SSSCL 07 + lambda_2_3*SSSCL 08 + lambda_2_4*SSSCL 09 + lambda_2_5*SSSCL 10 + lambda_2_6*SSSCL 11 + lambda_2_7*SSSCL 12 + lambda_2_8*SSSCL 13 Summary_score =~ Satisfaction+Self_Confidence
Both analyses were conducted with use of WLSMV estimator and bootstrap bias-corrected percentile SEs.
For bifactor analyse "Assume factors uncorrelated" was checked and "Dependent variables correlated" and "Exogenous latent correlated" were unchecked.
Does the problem lie in my inferior skills and knowledge, and I do something wrong, or it's just the date set quirk, or may it be a bug of some sort?
In appendix I add the pdf report and R syntax for both analyses - if some good soul find a will to help, I'd be very grateful. 😊
Polish labels for factors were used in file (Satysfakcja = Satisfaction; Pewność siebie = Self confidence; Wynik ogólny = Summary score)